NVIDIA
Senior Technical Marketing Engineer - Datacenter Networking
$128K–$236K
US, CA, Santa Clara · Senior · Full-time · Posted Jan 9, 2026
- Experience
- At least 5 years overall, including a minimum of 3 years in technical marketing or customer co-innovation working on data center networking products.
- Education
- BS/MS Degree in Computer Science or Engineering, or equivalent experience in a Technical Marketing role.
About the job
Evaluates and promotes NVIDIA datacenter networking products through benchmarking, demos, competitive analysis, customer feedback, and cross-functional go-to-market work.
What you'll do
- Evaluate networking usability, performance, and developer experience; identify gaps and influence product roadmaps.
- Build repeatable benchmarks, competitive analyses, and demos showcasing end-to-end use cases.
- Partner with engineering, product, marketing, and PR teams on application performance, go-to-market execution, and technical content.
What they ask for
- At least 5 years of overall experience, including at least 3 years in technical marketing or customer co-innovation on data center networking products.
- Hands-on experience with both N–S and E–W networking in real environments.
- Understanding of scale-out network designs and capacity/availability trade-offs; familiarity with network collectives for AI workloads.
- Experience with public and hybrid clouds in an Enterprise setting, including network infrastructure deployment and automation with Ansible/Terraform.
Nice to have
- Proficiency in C/C++, Golang, and Python AI/ML frameworks.
- Hands-on HPC cluster setup and tuning with Slurm, Kubernetes, or other schedulers; experience with NVIDIA BlueField DPU and DOCA.
Pay
128,000 USD - 201,250 USD base salary (Level 3); 148,000 USD - 235,750 USD base salary (Level 4)
Tools
Ethernet, InfiniBand, DPUs/SmartNICs, C/C++, Golang, Python, Ansible, Terraform
AI focus
Work with AI/ML workloads to track and analyze behavior in large clusters and workflows; familiarity with network collectives for AI workloads.
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